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A New Method of the Accurate Eye Corner Location

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Rough Sets and Current Trends in Computing (RSCTC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7413))

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Abstract

Eye corner location is a hot research topic in recent years. A novel eye corner Location method is proposed in the paper. Firstly, a haar features face detection based on adaboost is used to detect the face in an image. Secondly, a step of accurate eye corner location is proposed, which consists of rough eye location, contour extraction ellipse fitting, corner detection and eye corner location. Rough eye location is used for reducing the search range in the image. Then contour extraction based on ellipse fitting is taken. In the following, the curvature scale space(CSS) corner detection operator is used for corners detection. At last, the inner and outer eye corners can be determined according to statistics result of frequency distribution of the corner points projection. The proposed method is proved to be an effective and robust method according to the result of comparative experiments.

Part of this work is supported by National Natural Science Foundation of China (No. 61075019), Scientific Research Foundation of Chongqing Municipal Education Commission (No. KJ110522, KJ110512), Chongqing Key Lab of Computer Network and Communication Technology Foundation (No. CY-CNCL-2009-02), Natural Science Foundation of Chongqing University of Posts and Telecommunications(No. A2009- 26, No. JK-Y-2010002).

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Authors and Affiliations

  1. Institute of Computer Science & Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China

    Yong Yang & Yunxia Lu

Authors
  1. Yong Yang
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  2. Yunxia Lu
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina, S4S 0A2, Regina, SK, Canada

    JingTao Yao

  2. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, P.R. China

    Yan Yang

  3. Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965, Poznan, Poland

    Roman Słowiński

  4. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco

  5. School of Management and Engineering, Nanjing University, 210093, Nanjing, Jiangsu, P.R. China

    Huaxiong Li

  6. Machine Intelligence Unit, Indian Statistical Institute (ISI), 700108, Kolkata, India

    Sushmita Mitra

  7. Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008, Warsaw, Poland

    Lech Polkowski

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© 2012 Springer-Verlag Berlin Heidelberg

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Yang, Y., Lu, Y. (2012). A New Method of the Accurate Eye Corner Location. In: Yao, J., et al. Rough Sets and Current Trends in Computing. RSCTC 2012. Lecture Notes in Computer Science(), vol 7413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32115-3_13

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  • DOI: https://doi.org/10.1007/978-3-642-32115-3_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32114-6

  • Online ISBN: 978-3-642-32115-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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